Nicolas Durrande
Nicolas Durrande
Head of Probabilistic Modelling - PROWLER.io
Verified email at prowler.io - Homepage
TitleCited byYear
Additive covariance kernels for high-dimensional Gaussian process modeling
N Durrande, D Ginsbourger, O Roustant
Annales de la Faculté des sciences de Toulouse: Mathématiques 21 (3), 481-499, 2012
76*2012
Variational Fourier features for Gaussian processes
J Hensman, N Durrande, A Solin
The Journal of Machine Learning Research 18 (1), 5537-5588, 2017
572017
ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis
N Durrande, D Ginsbourger, O Roustant, L Carraro
Journal of Multivariate Analysis 115, 57-67, 2013
522013
Distance-based kriging relying on proxy simulations for inverse conditioning
D Ginsbourger, B Rosspopoff, G Pirot, N Durrande, P Renard
Advances in water resources 52, 275-291, 2013
312013
Detecting periodicities with Gaussian processes
N Durrande, J Hensman, M Rattray, ND Lawrence
PeerJ Computer Science 2, e50, 2016
24*2016
Finite-dimensional Gaussian approximation with linear inequality constraints
AF López-Lopera, F Bachoc, N Durrande, O Roustant
SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1224-1255, 2018
202018
Nested Kriging predictions for datasets with a large number of observations
D Rullière, N Durrande, F Bachoc, C Chevalier
Statistics and Computing 28 (4), 849-867, 2018
192018
On ANOVA decompositions of kernels and Gaussian random field paths
D Ginsbourger, O Roustant, D Schuhmacher, N Durrande, N Lenz
Monte Carlo and Quasi-Monte Carlo Methods, 315-330, 2016
172016
Etude de classes de noyaux adaptées à la simplification et à l’interprétation des modeles d’approximation. Une approche fonctionnelle et probabiliste.
N Durrande
Ph. D. thesis, Saint-Etienne, EMSE, 2011
162011
On degeneracy and invariances of random fields paths with applications in Gaussian process modelling
D Ginsbourger, O Roustant, N Durrande
Journal of statistical planning and inference 170, 117-128, 2016
142016
An analytic comparison of regularization methods for Gaussian Processes
H Mohammadi, RL Riche, N Durrande, E Touboul, X Bay
arXiv preprint arXiv:1602.00853, 2016
142016
Damage localisation in delaminated composite plates using a Gaussian process approach
N Corrado, M Gherlone, C Surace, J Hensman, N Durrande
Meccanica 50 (10), 2537-2546, 2015
112015
Kernels and designs for modelling invariant functions: From group invariance to additivity
D Ginsbourger, N Durrande, O Roustant
mODa 10–Advances in Model-Oriented Design and Analysis, 107-115, 2013
102013
Invariances of random fields paths, with applications in Gaussian process regression
D Ginsbourger, O Roustant, N Durrande
arXiv preprint arXiv:1308.1359, 2013
82013
Gaussian process modulated cox processes under linear inequality constraints
AF López-Lopera, ST John, N Durrande
arXiv preprint arXiv:1902.10974, 2019
52019
Single and multiple crack localization in beam-like structures using a Gaussian process regression approach
N Corrado, N Durrande, M Gherlone, J Hensman, M Mattone, C Surace
Journal of Vibration and Control 24 (18), 4160-4175, 2018
52018
Banded matrix operators for Gaussian Markov models in the automatic differentiation era
N Durrande, V Adam, L Bordeaux, S Eleftheriadis, J Hensman
arXiv preprint arXiv:1902.10078, 2019
42019
Bayesian inversion of a diffusion evolution equation with application to Biology
JC Croix, N Durrande, M Alvarez
arXiv preprint arXiv:1806.05843, 2018
22018
Some properties of nested Kriging predictors
F Bachoc, N Durrande, D Rullière, C Chevalier
arXiv preprint arXiv:1707.05708, 2017
22017
Scalable GAM using sparse variational Gaussian processes
V Adam, N Durrande, ST John
arXiv preprint arXiv:1812.11106, 2018
12018
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Articles 1–20